code: def test_collate_tensor(self) -> None:
      x = torch.randn(self.data_size, self.dimension)
  
      dataset = TensorDataset(x)
      data_loader = DPDataLoader(dataset, sample_rate=1e-5)
  
      (s,) = next(iter(data_loader))
  
      self.assertEqual(s.size(0), 0)
  
file_path: opacus/opacus/tests/dpdataloader_test.py
imports: import unittest
  import torch
  from opacus.data_loader import DPDataLoader
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 3 for calling the DPDataLoaderTest obj's underlying member method code with example usage: obj.test_collate_tensor() without return types